文献
J-GLOBAL ID:201702249114684843
整理番号:17A1118795
RTS:車両crowdsensingによる交通状態推定のための道路トポロジーに基づく方式【Powered by NICT】
RTS: road topology-based scheme for traffic condition estimation via vehicular crowdsensing
著者 (7件):
Shao Lu
(Department of Computer Science and Technology, Tongji University, Shanghai, China)
,
Shao Lu
(Key Laboratory of Embedded System and Service Computing, Ministry of Education, Shanghai, China)
,
Wang Cheng
(Department of Computer Science and Technology, Tongji University, Shanghai, China)
,
Wang Cheng
(Key Laboratory of Embedded System and Service Computing, Ministry of Education, Shanghai, China)
,
Liu Lu
(School of Computing and Mathematics, University of Derby, Derby, UK)
,
Jiang Changjun
(Department of Computer Science and Technology, Tongji University, Shanghai, China)
,
Jiang Changjun
(Key Laboratory of Embedded System and Service Computing, Ministry of Education, Shanghai, China)
資料名:
Concurrency and Computation: Practice & Experience
(Concurrency and Computation: Practice & Experience)
巻:
29
号:
3
ページ:
null
発行年:
2017年
JST資料番号:
W2542A
ISSN:
1532-0626
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)